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Data for: Bioimage analysis for multiplexed FUCCI acquisitions powered by deep learning

Reproduction data for DeepFUCCI paper.   What to find here: Training data: annotated dataset of classified segmentation masks, following the StarDist convention Custom-trained StarDist models: three pure segmentation and three classsification + segmentatio

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CreatorZimmermann, Julius
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Published2026-04-20
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DOI10.5281/zenodo.19671003
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Downloads400
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Licensecc-by-4.0
File Size5.1 GB
Data TypeDataset
Published2026
Licensecc-by-4.0
Total Views142
Total Downloads400

Reproduction data for DeepFUCCI paper.

 

What to find here:

  • Training data: annotated dataset of classified segmentation masks, following the StarDist convention
  • Custom-trained StarDist models: three pure segmentation and three classsification + segmentation models
  • Custom-trained InstanSeg models: three channel-specific and one channel-invariant model
  • Custom-trained Cellpose-SAM models: one fine-tuned model, one classification model trained on all channels and one classification model trained only on the tubulin channel
  • Video figures
  • Source data: the data and scripts used for the individual figures (if applicable)
  • fucciphase code used for paper

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Data for: Bioimage analysis for multiplexed FUCCI acquisitions… (Full Dataset)5.1 GB
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ReadmeVia DOI record
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Files are hosted on the source repository. Click download to access the full dataset.

Zimmermann, Julius (2026). Data for: Bioimage analysis for multiplexed FUCCI acquisitions powered by deep learning. https://doi.org/10.5281/zenodo.19671003